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Klappentext This edition of SPSS: Analysis without Anguish continues the trend of previous editions in providing a practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. IBM SPSS Statistics 20 is a sophisticated piece of software used by social scientists and related professionals for statistical analysis.Extensive use of screen displays and a range of step-by-step working and practice examples remain features of the workbook.SPSS: Analysis without Anguish Version 20.0 for Windows is suitable for a range of disciplines! including business! health! social sciences! environmental science and geography. Zusammenfassung This edition of SPSS: Analysis without Anguish continues the trend of previous editions in providing a practical text intended as an introduction to IBM SPSS Statistics 20 and a guide for Windows users who wish to conduct analytical procedures. IBM SPSS Statistics 20 is a sophisticated piece of software used by social scientists and related professionals for statistical analysis.Extensive use of screen displays and a range of step-by-step working and practice examples remain features of the workbook.SPSS: Analysis without Anguish Version 20.0 for Windows is suitable for a range of disciplines, including business, health, social sciences, environmental science and geography. Inhaltsverzeichnis PrefaceSECTION 1. How to use SPSSCHAPTER 1. Introduction to SPSSCHAPTER 2. Preparation of data filesCHAPTER 3.. Data screening and transformationCHAPTER 4. Descriptive statisticsCHAPTER 5. CorrelationCHAPTER 6. t-testsCHAPTER 7. One-way between-groups ANOVA with post-hoc comparisonsCHAPTER 8. One-way between-groups ANOVA with planned comparisonsCHAPTER 9. Two-way between-groups ANOVACHAPTER 10. One-way repeated-measures ANOVACHAPTER 11. Two-way repeated-measures ANOVACHAPTER 12. Trend analysisCHAPTER 13. Mixed/split plot design (SPANOVA)CHAPTER 14. One-way analysis of covariance (ANCOVA)CHAPTER 15. Reliability analysisCHAPTER 16. Factor analysisCHAPTER 17. Multiple regressionCHAPTER 18. Multiple analysis of variance (MANOVA)CHAPTER 19. Nonparametric techniquesCHAPTER 20. Multiple response analysis and multiple dichotomy analysisCHAPTER 21. Multidimensional scalingCHAPTER 22. Working with outputSECTION 2. Analysing data with IBM SPSSCHAPTER 23. Introduction and research questionsCHAPTER 24. Practising analytical techniquesSECTION 3. Further practiceCHAPTER 25. Extra practiceAppendixIndex ...
List of contents
Preface
SECTION 1. How to use SPSS
CHAPTER 1. Introduction to SPSS
CHAPTER 2. Preparation of data files
CHAPTER 3.. Data screening and transformation
CHAPTER 4. Descriptive statistics
CHAPTER 5. Correlation
CHAPTER 6. t-tests
CHAPTER 7. One-way between-groups ANOVA with post-hoc comparisons
CHAPTER 8. One-way between-groups ANOVA with planned comparisons
CHAPTER 9. Two-way between-groups ANOVA
CHAPTER 10. One-way repeated-measures ANOVA
CHAPTER 11. Two-way repeated-measures ANOVA
CHAPTER 12. Trend analysis
CHAPTER 13. Mixed/split plot design (SPANOVA)
CHAPTER 14. One-way analysis of covariance (ANCOVA)
CHAPTER 15. Reliability analysis
CHAPTER 16. Factor analysis
CHAPTER 17. Multiple regression
CHAPTER 18. Multiple analysis of variance (MANOVA)
CHAPTER 19. Nonparametric techniques
CHAPTER 20. Multiple response analysis and multiple dichotomy analysis
CHAPTER 21. Multidimensional scaling
CHAPTER 22. Working with output
SECTION 2. Analysing data with IBM SPSS
CHAPTER 23. Introduction and research questions
CHAPTER 24. Practising analytical techniques
SECTION 3. Further practice
CHAPTER 25. Extra practice
Appendix
Index
